Innovative approaches to professional development: Exploring the interplay between Technological Pedagogical Content Knowledge (TPACK), teachers’ motivation, engagement, and teachers’ professional development
Keywords:
Professional development, Technological Pedagogical Content Knowledge (TPACK), Teachers’ motivation, Teachers’ engagement, Technology-enhanced learningAbstract
This study aimed to explore the relationship between teachers’ technological pedagogical content knowledge (TPCK), teaching English (TEE) motivation, TEE engagement strategies, and professional development. A total of 415 valid questionnaires were collected from teachers across China, with a majority from Shaanxi Province. The data was gathered through a survey conducted online over a two-week period, with the questionnaire being translated and back-translated to ensure linguistic accuracy. Statistical analyses were performed using SPSS (version 27) and AMOS (version 24), including descriptive statistics, correlation, regression, and structural equation modeling (SEM). The findings revealed that teachers with higher levels of TPCK were more likely to exhibit increased motivation for teaching English and adopt more effective engagement strategies, which contributed to their professional development. TPCK was also found to act as a mediator between TEE motivation and TEE engagement strategies, highlighting the role of TPCK in enhancing teachers’ professional growth by improving their teaching practices. These results suggest that strengthening TPCK can positively influence both teacher motivation and engagement, leading to more effective teaching and professional advancement.
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Ateş, H., & Köroğlu, M. (2024). Online collaborative tools for science education: Boosting learning outcomes, motivation, and engagement. Journal of Computer Assisted Learning, 40(3), 1052–1067. https://doi.org/https://doi.org/10.1111/jcal.12931
Aydin Yildiz, T. (2024). The relationship between TPACK and self-efficacy of the English teachers of gifted students in science and art centres: A sample of Türkiye. Participatory Educational Research, 11(2). https://doi.org/10.17275/per.24.22.11.2
Azhar, I. N. K., & Hashim, H. (2022). Level of ESL teachers’ technological pedagogical content knowledge (TPACK) skill and attitude towards technology. Creative Education, 13(04), 1193–1210. https://doi.org/10.4236/ce.2022.134074
Bullard, M. B., Rutledge, C. D., & Kohler-Evans, P. (2017). Using the stages of concern questionnaire to ensure professional development with teachers and teacher candidates. International Research in Higher Education, 2(4), 50–57. https://doi.org/10.5430/irhe.v2n4p50
Dai, K., & Wang, Y. L. (2024). Enjoyable, anxious, or bored: Investigating Chinese EFL learners’ classroom emotions and their engagement in technology-based EMI classrooms. System, 123, https://doi.org/10.1016/j.system.2024.103339
Derakhshan, A. (2025). EFL students’ perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus. Learning and Motivation. https://doi.org/10.1016/j.lmot.2025.102114
Derakhshan, A., & Fathi, J. (2024a). Grit and foreign language enjoyment as predictors of EFL learners’ online engagement: The mediating role of online learning self-efficacy. The Asia-Pacific Education Researcher, 33(4), 759–769. https://doi.org/10.1007/s40299-023-00745-x
Derakhshan, A., & Fathi, J. (2024b). Growth mindset and ideal L2 self as predictors of student engagement in EFL students: The mediating role of L2 grit. Porta Linguarum, 9, 69–91. https://doi.org/10.30827/portalin.viIX.29899
Derakhshan, A., Teo, T., & Khazaie, S. (2024). Is game-based language learning general or specific-oriented? Exploring the applicability of mobile virtual realities to medical English education in the middle east. Computers & Education, 213, 105013. https://doi.org/10.1016/j.compedu.2024.105013
Derakhshan, A., Teo, T., Saeedy Robat, E., Janebi Enayat, M., & Jahanbakhsh, A. A. (2024). Robot-assisted language learning: A Meta-analysis. Review of Educational Research, 00346543241247227. https://doi.org/10.3102/00346543241247227
Derakhshan, A., & Zhang, L. J. (2024). Applications of psycho-emotional traits in technology-based Language Education (TBLE): An introduction to the special issue. The Asia-Pacific Education Researcher, 33(4), 741–745. https://doi.org/10.1007/s40299-024-00881-y
Gao, Q., Zhang, S., Cai, Z., Liu, K., Hui, N., & Tong, M. (2022). Understanding student teachers’ collaborative problem-solving competency: Insights from process data and multidimensional item response theory. Thinking Skills and Creativity, 45, 101097. https://doi.org/https://doi.org/10.1016/j.tsc.2022.101097
Gao, Y., Wang, Q., & Wang, X. (2024). Exploring EFL university teachers’ beliefs in integrating ChatGPT and other large language models in language education: a study in China. Asia Pacific Journal of Education, 44(1), 29–44. https://doi.org/10.1080/02188791.2024.2305173
Gao, Y., Wang, X., & Reynolds, B. L. (2025). The mediating roles of resilience and flow in linking basic psychological needs to tertiary EFL learners’ engagement in the informal digital learning of English: A mixed-methods study. Behavioral Sciences, 15(1), 85. https://doi.org/10.3390/bs15010085
Guo, Y., & Wang, Y. (2024). Exploring the effects of artificial intelligence application on EFL students' academic engagement and emotional experiences: A mixed‐methods study. European Journal of Education, e12812. https://doi.org/10.1111/ejed.12812
Jin, F., Song, Z., Cheung, W. M., Lin, C.-H., & Liu, T. (2024). Technological affordances in teachers' online professional learning communities: A systematic review. Journal of Computer Assisted Learning, 40(3), 1019–1039. https://doi.org/10.1111/jcal.12935
Johnson-Smith, T. R. (2014). Student engagement and academic achievement in technology enhanced and traditional classroom environments (Unpublished doctoral dissertation). Liberty University.
https://digitalcommons.liberty.edu/doctoral/889
Joldanova, D., Tleuzhanova, G., Kitibayeva, A., Smanova, G., & Mirza, N. (2022). Formation of TPACK and acmeological competency of future teachers in foreign language education. International Journal of Education in Mathematics, Science and Technology, 10(4), 935–954. https://doi.org/10.46328/ijemst.2717
Kholid, M. N., Hendriyanto, A., Sahara, S., Muhaimin, L. H., Juandi, D., Sujadi, I., Kuncoro, K. S., & Adnan, M. (2023). A systematic literature review of Technological, Pedagogical and Content Knowledge (TPACK) in mathematics education: Future challenges for educational practice and research. Cogent Education, 10(2), 2269047. https://doi.org/10.1080/2331186X.2023.2269047
Huang, F., Wang, Y., & Zhang, H. (2024). Modeling generative AI acceptance, perceived teachers’ enthusiasm, and self-efficacy to English as foreign language learners’ well-being in the digital era. European Journal of Education, https://doi.org/10.1111/ejed.12770
Lan, Y. (2024). Through tensions to identity-based motivations: Exploring teacher professional identity in Artificial Intelligence-enhanced teacher training. Teaching and Teacher Education, 151, 104736. https://doi.org/10.1016/j.tate.2024.104736
Leibovitch, Y. M., Beencke, A., Ellerton, P. J., McBrien, C., Robinson-Taylor, C.-L., & Brown, D. J. (2025). Teachers’ (evolving) beliefs about critical thinking education during professional learning: A multi- case study. Thinking Skills and Creativity, 56, 101725. https://doi.org/10.1016/j.tsc.2024.101725
Li, Y., & Wang, X. (2024). The emergence of loving pedagogy in the L2 affective domain: How affective pedagogy accounts for Chinese EFL teachers’ professional success and job satisfaction? International Journal of Mental Health Promotion, 26(3), 239–250. https://doi.org/10.32604/ijmhp.2023.029611
Liang, J.-C., Chai, C. S., Koh, J. H. L., Yang, C.-J., & Tsai, C.-C. (2013). Surveying in-service preschool teachers’ technological pedagogical content knowledge. Australasian Journal of Educational Technology, 29(4), 581–594. https://doi.org/10.14742/ajet.299
Ma, D., & Wang, Y. (2024). Does the work environment matter in shaping English as a foreign language teachers’ teaching for creativity: A mixed‐methods investigation into the roles of perceived climate, peer group interaction, and supervisory relationship. International Journal of Applied Linguistics. https://doi.org/10.1111/ijal.12624
Mohammadi, G. (2024). Teachers’ CALL professional development in synchronous, asynchronous, and bichronous online learning through project-oriented tasks: developing CALL pedagogical knowledge. Journal of Computers in Education, 11(2), 401-422. https://doi.org/10.1007/s40692-023-00260-4
Qi, S., & Derakhshan, A. (2025). Technology-based collaborative learning: EFL learners’ social regulation and modifications in their academic emotions and academic performance. Education and Information Technologies, 30(7), 8611–8636. .https://doi.org/10.1007/s10639-024-13167-z
Qu, J., & Wang, Y. L. (2024). Modelling the interaction between EFL teachers’ personality traits, emotion-regulation strategies, and teachers’ depression: A structural equation approach. European Journal of Education, e12727. https://doi.org/10.1111/ejed.12727
Su, F., Zou, D., & Wang, L. (2023). Learning-by-doing in a professional learning community: Technological pedagogical and content knowledge development of Hong Kong university teaching staff. Asia Pacific Education Review. https://doi.org/10.1007/s12564-023-09918-1
Sui, C.-J., Yen, M.-H., & Chang, C.-Y. (2024). Investigating effects of perceived technology-enhanced environment on self-regulated learning. Education and Information Technologies, 29(1), 161–183. https://doi.org/10.1007/s10639-023-12270-x
Tan, X., Cheng, G., & Ling, M. H. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 100355. https://doi.org/10.1016/j.caeai.2024.100355
Wang, Q., Sun, F., Wang, X., & Gao, Y. (2023). Exploring undergraduate students’ digital multitasking in class: An empirical study in China. Sustainability, 15(13), 10184. https://doi.org/10.3390/su151310184
Wang, Y. L. & Xue, L. N. (2024). Using AI-driven chatbots to foster Chinese EFL students’ academic engagement: An intervention study. Computers in Human Behavior, https://doi.org/10.1016/j.chb.2024.108353
Wu, H., Wang, Y., & Wang, Y. (2024). “To use or not to use?” A mixed-methods study on the determinants of EFL college learners’ behavioral intention to use AI in the distributed learning context. The International Review of Research in Open and Distributed Learning, 25(3), 158–178. https://doi.org/10.19173/irrodl.v25i3.7708
Xin, Z., & Derakhshan, A. (2025). From excitement to anxiety: Exploring EFL learners’ emotional experiences in the AI-powered classrooms. European Journal of Education, 60(1). e12845 https://doi.org/10.1111/ejed.12845
Yildiz, E., & Arpaci, I. (2024). Understanding pre-service mathematics teachers’ intentions to use GeoGebra: The role of technological pedagogical content knowledge. Education and Information Technologies, 29(14), 18817–18838. https://doi.org/10.1007/s10639-024-12614-1
Yim, I. H. Y. (2024). Artificial intelligence literacy in primary education: An arts-based approach to overcoming age and gender barriers. Computers and Education: Artificial Intelligence, 7, 100321. https://doi.org/10.1016/j.caeai.2024.100321
Zeng, Y., Wang, Y., & Li, S. (2022). The relationship between teachers' information technology integration self-efficacy and TPACK: A meta-analysis. Frontiers in psychology, 13, 1091017. https://doi.org/10.3389/fpsyg.2022.1091017
FUNDING INFORMATION
General Project of the “14th Five-Year Plan” for Education Science in Shaanxi Province in 2024 (Grant Numbers: SGH24Y2792, SGH24Y2782); 2024 Annual Planning Project of The China Association for Non-Government Education (School Development Category) (Grant Number: CANFZG24095).
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